Shuchita Solved Scanner CMA Foundation Paper 3 Fundamentals of Business Mathematics and Statistics Dec 26 & June 27

Scanner CMA Foundation Fundamentals of Business Mathematics Dec 26 & June 27 Scanner CMA Foundation Fundamentals of Business Mathematics Dec 26 & June 27 📌 Key Highlights: ✅ Covers ICMAI content (Solved Questions from past 24 exams with June 26 Ques.) ✅ 7 MQPs with Solution ✅ Star Rating of Chapters with ABC Analysis for focused prep ✅ MCQs with Crisp Explanations ✅ Video study material Provided on LMS ✅ Question-type classification: MCQs (Multiple Choice Question) • PYQs (Past Year Question) ✅ Unique trend tools: Chapter Marks Trend Graph / Chapter-Wise Marks Analysis / Paper Trend Analysis (Last 1 Attempt) 📘 Content Coverage: Section A: Fundamentals of Business Mathematics Module 1: Arithmetic Ratios, Variations and Proportions Time Value of Money and Annuity – Simple and Compound Interest Arithmetic Progression and Geometric Progression Time and Distance Module 2: Algebra Set Theory and Venn Diagram Indices and Logarithms Permutation and Combinations Quadratic Equation Module 3: Calculus – Application in Business Concept of Calculus and Its Application in Business Revenue and Cost Function Optimization Techniques Section B: Fundamentals of Business Statistics Module 4: Statistical Representation of Data Introduction Diagrammatic Representation of Data Frequency Distribution Graphical Representation of Frequency Distribution Histogram, Frequency Polygon, Curve, Ogive, Pie-Chart Module 5: Measures of Central Tendency and Dispersion Mean, Median, Mode, Mean Deviation Range, Quartiles and Quartile Deviation Standard Deviation Coefficient of Variation Karl Pearson and Bowley’s Co-efficient of Skewness Module 6: Correlation and Regression Scatter Diagram Karl Pearson’s Co-efficient of Correlation Regression Analysis Module 7: Probability Concepts and Terminologies Primary Applications of Probability Theorems Module 8: Index Number and Time Series Uses of Index Numbers, Methods of Construction of Index Number Components of Time Series and Calculation of Trend by Moving Average Method…and much more